Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
$260,000 – $330,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Advanced proficiency in Python with a track record of building clean, maintainable, and performant codebases
- 5+ years of experience in applied ML, large-scale distributed systems, or post-training infrastructure (RLHF, DPO, constitutional AI, etc.)
- Strong expertise with PyTorch and modern ML training frameworks; familiarity with distributed training and inference optimization
- Proven experience designing and operating data pipelines, benchmark frameworks, or large-scale evaluation systems
- Ability to drive technical projects end-to-end: from architecture design to implementation, scaling, and monitoring
- Clear and confident communication skills; ability to collaborate across research and engineering disciplines and influence technical direction
Responsibilities
- Architect, implement, and optimize large-scale post-training systems and data processing pipelines, ensuring reliability, scalability, and performance
- Lead the development of next-generation LLM benchmarks and evaluation frameworks, defining standards for measuring advanced reasoning, alignment, and knowledge capabilities
- Design and enforce rigorous methodologies for verifying data integrity and quality across highly specialized datasets
- Drive software/hardware performance optimization to accelerate experimentation and deployment (e.g., memory usage, training throughput, distributed systems)
- Partner with cross-disciplinary teams—including research scientists, domain experts, and product engineers—to validate and productionize model improvements
- Mentor junior engineers and shape technical best practices for the post-training and evaluation engineering pod
- Influence long-term research engineering strategy by identifying opportunities to systematize evaluation and data quality at scale
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Senior AI Research Engineer position?
The salary range is $260K - $330K.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What key skills are required for this Senior AI Research Engineer role?
The role requires expertise in architecting large-scale post-training systems and data processing pipelines, developing LLM benchmarks and evaluation frameworks, designing data integrity methodologies, optimizing software/hardware performance, and experience at the intersection of research and large-scale engineering.
What is the company culture like at Handshake AI?
Handshake AI features a world-class team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, emphasizing a fast-growing environment focused on shaping the future of AI through better data, tools, and systems for experts by experts.
What makes a strong candidate for this Senior AI Research Engineer role?
Strong candidates thrive at the intersection of research and large-scale engineering, can translate complex research insights into production-grade systems, have experience leading infrastructure design and scaling, and are able to mentor junior engineers.
Handshake
Connects students with job opportunities
About Handshake
Handshake connects college students with job and internship opportunities through its platform. It serves over 15 million students, 1,500 universities, and 900,000 employers, focusing on early career recruitment. The platform allows universities to provide students access to job listings, career fairs, and recruitment events, while employers can post job openings and manage recruitment processes. Handshake's user-friendly interface helps students organize their job search and offers insights like company reviews. The company prioritizes data privacy and security, ensuring compliance with regulations like FERPA. Handshake aims to bridge the gap between students and employers, facilitating early career opportunities.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$422.2MTotal Funding
SERIES_FCompany Stage
Cybersecurity, EducationIndustries
501-1,000Employees
Benefits
💰Equity and ownership in a fast-growing company.
🍼16 Weeks of paid parental leave
💝Comprehensive medical, dental, and vision
💻Handshake offers $500/£360 home office stipend
📚Generous learning & development opportunities and an annual $2,000/£1,500/2k€ stipend
🏦401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
🏝PTO
Risks
Emerging competitors like Fizz target Handshake's demographic with financial products.
Intuit's collaboration may draw students away from Handshake.
AI-driven skills demand may reduce engagement with Handshake.
Differentiation
Handshake connects over 15 million students with 900,000 employers.
The platform offers a user-friendly interface for job and internship applications.
Handshake ensures data privacy, complying with regulations like FERPA.
Upsides
Handshake's new social media-like interface boosts user engagement.
Growing student loan repayment benefits attract more employers to Handshake.
Demand for skills-based workforce aligns with Handshake's mission.
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